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| Archived
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Linux Academy Azure AI Implementation and Monitoring\01.Introduction\01.01.Course Introduction.mp4
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Linux Academy Azure AI Implementation and Monitoring\01.Introduction\01.02.About the Training Architect.mp4
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Linux Academy Azure AI Implementation and Monitoring\02.Integrate AI Services with Solution Components\02.01.Configure Prerequisite Components and Input Datasets to Allow Consumption of Cognitive Services APIs.mp4
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Linux Academy Azure AI Implementation and Monitoring\02.Integrate AI Services with Solution Components\02.02.Configure Integration with Azure Services.mp4
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Linux Academy Azure AI Implementation and Monitoring\02.Integrate AI Services with Solution Components\02.03.Configure Prerequisite Components to Allow Connectivity with Bot Framework.mp4
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Linux Academy Azure AI Implementation and Monitoring\02.Integrate AI Services with Solution Components\02.04.Implement Azure Search in a Solution.mp4
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Linux Academy Azure AI Implementation and Monitoring\03.Monitor and Evaluate the AI Environment\03.01.Identify the Differences Between KPIs, Reported Metrics, and Root Causes of the Differences.mp4
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Linux Academy Azure AI Implementation and Monitoring\03.Monitor and Evaluate the AI Environment\03.02.Identify the Differences Between Expected and Actual Workflow Throughput.mp4
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Linux Academy Azure AI Implementation and Monitoring\03.Monitor and Evaluate the AI Environment\03.03.Maintain the AI Solution for Continuous Improvement.mp4
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Linux Academy Azure AI Implementation and Monitoring\03.Monitor and Evaluate the AI Environment\03.04.Monitor AI Components for Availability.mp4
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Linux Academy Azure AI Implementation and Monitoring\03.Monitor and Evaluate the AI Environment\03.05.Recommend Changes to an AI Solution Based on Performance Data.mp4
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Linux Academy Azure AI Implementation and Monitoring\04.Where do you go from here\04.01.Good Work! Now on to the last Course Segment!.mp4
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